BibSonomy ::  user :: pitman ::

Xstructure is a service for browsing and searching papers in arxiv.org Among the features of this service are: * Automated generation of hierarchical classification scheme for the papers. The scheme results from classification of the papers in the arxiv database. The only input for the classification is the citation graph. The number of the levels in the hierarchy and the number of the clusters is determined by the algorithm. The algorithm creates the classification scheme, and indexes the papers by the created classification; * The classification is used to index the new papers. We plan to rebuild the classification scheme regularly. In this way, we will take into account that appearance of new papers may lead to emergence of new themes. Detection of new themes is one of our objectives; * A number of extra attributes (e.g. Theme name, Authority and Review Articles, etc.) for the elements (themes) of the classification (see Help); * Accessability of the classification in response to search requests via display options, e.g., display as Tree of Themes, and Refrerence (Citation) Tree. About 10% of papers from arxiv are missed in our database. We work on decreasing this number. Comments, questions, and suggestions are to be sent to Grigorii Pivovarov

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.

The New Opportunities Made Possible Through Ease of Access to Scholarly and Research Data and Information Summary: The ever-greater online availability of data and information is tending to what we might characterize as syntactic completeness. That is to say, we have an ever-better knowledge of all possible data and ensuing information in the particular domain of scholarly research. In this position statement, we note how the mathematical and computational modelling of data and information are crucial for semantic completeness. Use of data and information implies a well-elaborated understanding of both their syntax and their semantics. More transparent and hence better quality evaluation of both product and process is made possible.

The British Classification Society exists to encourage the co-operation and exchange of views and information among those interested in principles and practice of classification in any discipline where they are used. Its membership includes anthropologists, archaeologists, astronomers, biologists, chemists, computer scientists, forensic scientists, geologists, information specialists, librarians, psychologists, soil scientists and statisticians. The Society organises meetings, some by itself, but often jointly with societies representing application areas for classification.

Welcome to the home page of the Classification Society of North America (CSNA). The CSNA is a nonprofit interdisciplinary organization whose purposes are to promote the scientific study of classification and clustering (including systematic methods of creating classifications from data), and to disseminate scientific and educational information related to its fields of interests.